Abstract
This paper proposes an integrated method for the accurate and fair cost allocation of the transmission system among the users (generators and loads) of the network. It mitigates the existing research gaps and implementation issues in the marginal participation approach for network cost allocation. Major challenges in the marginal participation approach are 1) fair selection of economic slack busses 2) inaccuracy due to use of DC power flow 3) treatment of the counter flows and 4) enforcement of cost-causality. While the prior art has addressed the sub-problems individually, an integrated approach has been missing. This work fills this research gap. Besides, it for the first time introduces the use of linearized AC power flow for calculating the marginal flows. This provides a major improvement over the DC power flow model as nominal voltage and reactive power variables can be modeled without compromising linearity. Economic slack bus selection by min-max fairness approach, modelling of counter flows without resulting in negative cost-shares (payoffs), enhancement of cost-causality by segregating usage cost, reliability cost, and residual costs are other salient contributions of the proposed work. These features result in a rigorously fair, accurate, and yet tractable method computationally. Case-studies on many systems including the IEEE-118 bus system demonstrate the claims made.
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Abbreviations
- \(\Delta V_{l}\) :
-
Deviation in voltage magnitude from 1 p.u. at bus l
- \(\Delta V_{m}\) :
-
Deviation in voltage magnitude from 1 p.u. at bus m
- \(\delta _{l}\) :
-
Phase angle of voltage at bus l
- \(\delta _{m}\) :
-
Phase angle of voltage at bus m
- \(\mathbf {P_G}\) :
-
Vector of active power injection at buses
- \(\mathbf {P_L}\) :
-
Vector of active power withdrawal at buses
- \(\mathbf {P_{line}}\) :
-
Active line-power flow vector
- \(\mathbf {Q_L}\) :
-
Vector of reactive power withdrawal at load buses
- \(\mathbf {Q_{line}}\) :
-
Reactive line-power flow vector
- \(\mathbf {S_P}\) :
-
Sensitivity matrix for active line-power flows
- \(\mathbf {S_p}\) :
-
Sensitivity matrix for active line-power flows for change in active power injection at all buses
- \(\mathbf {S_Q}\) :
-
Sensitivity matrix for reactive line-power flows
- \(\mathbf {S_q}\) :
-
Sensitivity matrix for active line-power flows for change in reactive power injection at (P-Q) buses
- \(\mathbf {S}\) :
-
Sensitivity matrix for active and reactive line-power flows
- \(\Omega _i\) :
-
The set of buses adjacent to bus i
- \(\phi _L\) :
-
The angle between the voltage and current at the load busses
- \(b_{lm0}\) :
-
Shunt susceptance (as per \(\pi \) model) - half of total shunt susceptance of line lm, a positive value
- \(b_{lm}\) :
-
Series susceptance of line lm, a negative value
- \(b_{sh_i}\) :
-
Net shunt susceptance at bus i, a positive value for shunt capacitor and a negative value for shunt reactor
- \(c_{lm}\) :
-
Capacity based cost-rate for line lm
- \(g_{lm}\) :
-
Series conductance of line lm, a positive value
- \(M_k\) :
-
Set of entities whose price have been fixed in \(k^{th}\) LP \(M_0=\{\phi \}\)
- n :
-
Number of buses
- n :
-
Number of the busses in the system
- \(n_D\) :
-
(\(2\times n_G \times n_L +1\))
- \(n_E\) :
-
Total number of entities (\(n_L+n_G\))
- \(n_G\) :
-
Number of the generator busses in the system
- \(n_L\) :
-
Number of the load busses in the system
- \(n_l\) :
-
Number of lines
- \(NetCombCost_{LAC}\) :
-
Network combined cost for ‘extent of use’ and reliability capacity using LAC framework
- \(NetEOUCost_{LAC}\) :
-
‘Extent of use’ cost of the network using LAC framework
- \(NetRelCapCost_{LAC}\) :
-
Network reliability capacity cost obtained using LAC framework
- \(P_i^{inj}\) :
-
Active power injected at bus i
- \(P_{lm_{LAC}}\) :
-
Active power flow in line lm using LAC framework
- \(P_{lm}\) :
-
Active power flow on line from bus l to bus m using DC power flow
- \(P_{{REL}_{lm_{LAC}}}\) :
-
Reliability capacity in line lm using LAC framework
- \(Q_i^{inj}\) :
-
Reactive power injected at bus i
- \(Q_{lm_{LAC}}\) :
-
Reactive power flow on line from bus l to bus m using LAC framework
- \(RC_{INT}\) :
-
Residual capacity cost with reliability is in LAC framework
- \(RC_{LAC}\) :
-
Residual capacity cost in LAC framework
- \(S_k\) :
-
\(S_k = S_{k-1} \setminus M_k\) (\(S_0=\{N\}\))
- TotNetCost :
-
Total network cost to be recovered
- TotNetMW :
-
Total network MW capacity of generator injection and load withdrawals of all participating entities
- \(V_{l}\) :
-
Bus voltage magnitude in p.u. at bus l
- \(V_{m}\) :
-
Bus voltage magnitude in p.u. at bus m
- \(z_k^*\) :
-
Optimal value of \(z_k\)
- \(z_{k}\) :
-
Dummy variable in \(k^{th}\) LP problem
- \({\mathbf {d}}\) :
-
Vector of unknown variables in \(\mathbf {LP}\) \({\mathbf {d}}\in R_+^{n_D}\)
- EOU :
-
Extent of use
- LAC :
-
Linearized AC power flow
- LP :
-
Linear programming
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Mehta, R.P., Soman, S.A. & Rao, M.S.S. A novel method for transmission system cost allocation with better accuracy and fairness. Sādhanā 47, 62 (2022). https://doi.org/10.1007/s12046-022-01835-0
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DOI: https://doi.org/10.1007/s12046-022-01835-0