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Figure 10 presents the operation costs, the wind power generation and the wind power curtailment for both systems and for all wind power generation levels.
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Open image in new window Fig. 5 Active power curtailment for voltage smoothing.
The amounts of load curtailment for each customer are shown in Table A1.
Open image in new window Fig. 4 Load curtailment for IEEE 30-bus power system Open image in new window Fig. 5 Load curtailments for 7-node natural gas system.
It also reflects the weak influence of customer location and the contribution of load curtailment for the grid.
The specific load curtailment for each of the users is determined by comprehensive situations of the interruption capacity, interruption duration, user bidding and load characteristics.
The objective of the OPF model is to minimize the total system load curtailment for the contingency state j considering network constraints and market scheduling and coupling during the real time operation.
Open image in new window Fig. 9 Electricity balance for each case Open image in new window Fig. 10 Electricity dispatch for each case Open image in new window Fig. 11 Wind power curtailment for each case.
The wind curtailment percentage can be expressed as sumlimits_{t}^{{T_{text{UC}} }} {W_{m,t}^{text{Cur}} } le rho_{m}^{text{Wcur}} sumlimits_{t}^{{T_{text{UC}} }} {W_{m,t} } (19 where ( rho_{m}^{{text{Wcur}}} ) is the maximum percentage of daily wind energy curtailment for wind farm m within any possible wind power scenarios.
The constraint for natural gas network in (1) is modified as: begin{aligned} s_{m} & = sumlimits_{{(m,n) in N_{g} }} {f_{{H_{mn} }} (H_{mn} )} + d_{m} + e_{m} (P_{Gm} ) & quad - sumlimits_{{(m,n) in N_{CP} }} {f_{mn} } - LC_{m}^{gas} end{aligned} (22 where (LC_{m}^{gas}) is the load curtailment for natural gas network.
State officials have warned of such curtailments for months, and many farmers and agricultural water districts prepared for them by increasing their reserves or digging new wells for groundwater.
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